Computer construction of species richness maps: Testing a new type of multifractal algorithm
| dc.contributor.author | Perrier, Edith | |
| dc.contributor.author | Laurie, Henri | |
| dc.date.accessioned | 2018-03-28T08:27:23Z | |
| dc.date.available | 2018-03-28T08:27:23Z | |
| dc.date.issued | 2008 | |
| dc.date.updated | 2016-01-18T10:25:09Z | |
| dc.description.abstract | We show how a new theoretical multifractal model provides means to generate virtual maps of highly variable spatial distributions of species richness. It should allow for various computer experiments in landscape ecology and the study of biodiversity. In this paper, the explicit distribution of species-representative individuals over a large range of scale leads to an original algorithm for the estimation of the Renyi dimensions of a multifractal measure. The method is successfully tested for simulated (S, A) data sets, where the variable S is simply the number of species found in a given domain of area A. This easy tool will help to characterize the spatial variability of multiscale density distributions in many fields, requiring only randomly sampled data at different locations and scales. | |
| dc.identifier.apacitation | Perrier, E., & Laurie, H. (2008). Computer construction of species richness maps: Testing a new type of multifractal algorithm. <i>South African Journal of Science</i>, http://hdl.handle.net/11427/27725 | en_ZA |
| dc.identifier.chicagocitation | Perrier, Edith, and Henri Laurie "Computer construction of species richness maps: Testing a new type of multifractal algorithm." <i>South African Journal of Science</i> (2008) http://hdl.handle.net/11427/27725 | en_ZA |
| dc.identifier.citation | Perrier, E., & Laurie, H. (2008). Computer construction of species richness maps: testing a new type of multifractal algorithm: biological modelling. South African Journal of Science, 104(5), 209-215. | |
| dc.identifier.ris | TY - Journal Article AU - Perrier, Edith AU - Laurie, Henri AB - We show how a new theoretical multifractal model provides means to generate virtual maps of highly variable spatial distributions of species richness. It should allow for various computer experiments in landscape ecology and the study of biodiversity. In this paper, the explicit distribution of species-representative individuals over a large range of scale leads to an original algorithm for the estimation of the Renyi dimensions of a multifractal measure. The method is successfully tested for simulated (S, A) data sets, where the variable S is simply the number of species found in a given domain of area A. This easy tool will help to characterize the spatial variability of multiscale density distributions in many fields, requiring only randomly sampled data at different locations and scales. DA - 2008 DB - OpenUCT DP - University of Cape Town J1 - South African Journal of Science LK - https://open.uct.ac.za PB - University of Cape Town PY - 2008 T1 - Computer construction of species richness maps: Testing a new type of multifractal algorithm TI - Computer construction of species richness maps: Testing a new type of multifractal algorithm UR - http://hdl.handle.net/11427/27725 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/27725 | |
| dc.identifier.vancouvercitation | Perrier E, Laurie H. Computer construction of species richness maps: Testing a new type of multifractal algorithm. South African Journal of Science. 2008; http://hdl.handle.net/11427/27725. | en_ZA |
| dc.language.iso | eng | |
| dc.publisher.department | Department of Mathematics and Applied Mathematics | en_ZA |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.source | South African Journal of Science | |
| dc.source.uri | https://www.sajs.co.za/ | |
| dc.title | Computer construction of species richness maps: Testing a new type of multifractal algorithm | |
| dc.type | Journal Article | |
| uct.type.filetype | Text | |
| uct.type.filetype | Image |